{"id":"W2095362577","doi":"10.1109/itc.2010.5608722","title":"Distributed radio resource allocation for the downlink of multi-cell OFDMA radio systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Telecommunications link; Computer science; Resource allocation; Frequency-division multiple access; Constraint (computer-aided design); Mathematical optimization; Orthogonal frequency-division multiplexing; Power control; Resource management (computing); Convergence (economics); Spectral efficiency; Reuse; Computer network; Power (physics); Mathematics; Channel (broadcasting); Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100821,0.0005811545,0.0006761834,0.0002706115,0.0004140391,0.0008508121,0.0006366273,0.0006037039,0.001107543],"category_scores_gemma":[0.002564132,0.0002475895,0.0003095233,0.0003934546,0.0006476445,0.0007886923,0.0005516142,0.0005562718,0.0001901772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017022,"about_ca_system_score_gemma":0.0008324927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306178,"about_ca_topic_score_gemma":0.002586833,"domain_scores_codex":[0.9994479,0.0002577335,0.00001303281,0.00007073937,0.000141357,0.00006934549],"domain_scores_gemma":[0.9993299,0.0004667889,0.00005368769,0.00003411228,0.00008881622,0.00002661543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004440587,0.00002734642,0.0002571381,0.00003849676,0.00001873222,0.00004551059,0.00003554458,0.9720156,0.001653448,0.009413095,0.0003255057,0.01612525],"study_design_scores_gemma":[0.00000788021,0.00001473342,0.00006096545,0.000001924982,0.000003513067,0.00001144747,0.000009894174,0.9967142,0.0002230272,0.002714583,0.000236042,0.000001781538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02589747,0.0006999579,0.970647,0.0001839362,0.00003278347,0.00003183498,0.00001767959,0.00004704304,0.002442246],"genre_scores_gemma":[0.9191862,0.0005805552,0.07758093,0.00006323718,0.00007096677,0.00009982999,0.00003143658,0.00003206499,0.002354814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002306178,"threshold_uncertainty_score":0.007378995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008061008649266685,"score_gpt":0.206421148263424,"score_spread":0.1983601396141573,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}